Buyers Research 67% Before Sales Calls
A new B2B buying report shows prospects are completing most of their evaluation before ever speaking to sales, forcing teams to replace broad pitch decks with precise, searchable answers to real buyer questions.
The conversation also explores how AI assistants are joining the buying committee, screening vendors through transcripts, structured content, and crawlable facts that make expertise legible to both bots and humans.
Chapter 1
Buyers are arriving with most of the homework already done
Elena Park
So, I- I was looking at the raw data from the new 2026 B2B buying report, and, uh, there's this one chart that just, it honestly stopped me cold. Buyers are completing... get this, they are completing almost two-thirds of their entire evaluation, like, sixty-seven percent, before they ever, ever agree to a first sales call. It's- it's wild. The whole "educate the buyer" playbook? It is basically dead on arrival.
Daniel North
Sixty-seven percent. That is... I mean, that's practically the whole marathon. They've- they've run the race, they're practically at the finish line, and only then do they invite the sales rep to, what, hand them a cup of water?
Elena Park
Exactly. A cup of water and a generic PowerPoint deck. It's- it's a disaster. I was actually talking to a client last week, and he told me about a pitch he sat in on. The sales rep opened up slide one... you know, the classic "here is who we are, we were founded in..." and the prospect literally stopped him mid-sentence.
Daniel North
Oh, no.
Elena Park
Yeah! The buyer said, "Look, we've already read your documentation, we watched your product demo on YouTube, and we talked to two of your current customers on Slack. We don't need a- a capability overview. We need to know why your database latency spikes when it hits five thousand concurrent users."
Daniel North
Oh, I love that. That is- that is beautiful. Because, see, that's- that's the shift, right? Sales is- it's no longer the place where opinions start. It's- it's the place where decisions, decisions that are already ninety percent formed, get... get stress-tested.
Elena Park
Yes!
Daniel North
If a prospect has already built their shortlist, they're not coming to you to be taught. They're coming to see if you're going to lie to them, or if you actually know your stuff. So, if you're still leading with those eighty-slide broad capability decks... I- I mean, you are just wasting everyone's time.
Elena Park
So- so, wait, what's the play then? If you're consulting a B2B executive who's looking at this sixty-seven percent number and panicking, what do they actually do tomorrow?
Daniel North
Well, first, you throw the pitch deck in the trash. Seriously. Or at least, you- you lock it away. Instead, you need to package your real, deep expertise into these short, highly searchable answers to the exact questions buyers are asking *before* they talk to you. I'm talking about things like, "How exactly does this integrate with our Snowflake stack?" or, "What does implementation actually look like in week four?"
Elena Park
Right, right.
Daniel North
It's about moving the heavy-duty, nitty-gritty answers to the front of the line. If you hide that stuff behind a "schedule a demo" form, the buyer isn't going to fill out the form. They're just going to go to your competitor who has the answers sitting right there on their public docs.
Elena Park
Hmm. Yeah, it's like, stop treating your- your product details like some sort of state secret.
Chapter 2
AI assistants are now part of the buying committee
Elena Park
But, okay, there is a second layer to this, Daniel, and it's... well, it's a bit weirder. The report has this- this really surprising signal about *how* these buyers are doing that sixty-seven percent of research. They aren't just googling and reading forums. They are increasingly using AI assistants... like, custom GPTs or Claude... to do the screening for them.
Daniel North
Wait, so... a machine is summarizing the vendors?
Elena Park
Yes. They are feeding long reports, PDFs, product pages into these tools and saying, "Hey, build me a shortlist of the top three vendors who can handle multi-tenant compliance in Germany." Which means... your content, your website, your whitepapers... they are being judged by software before a human ever lays eyes on them.
Daniel North
Okay, so... let me make sure I'm wrapping my head around this. If- if an LLM, if a crawler is reading my site to decide if I make the cut... then all that- that beautifully written, emotional marketing copy... the, you know, "we empower synergy and unlock human potential" stuff...
Elena Park
Right, the buzzwords.
Daniel North
--yeah, that stuff is completely useless to an AI. It can't parse it. It's- it's looking for structured, hard facts. It wants to pull cleanly from a table, a transcript, or a direct answer. If you're vague, you- you literally do not exist to the algorithm.
Elena Park
Exactly. But! I do want to push back on one thing here. The report makes this sound like it's- like it's happening everywhere, across the board. But when you dig into the actual cohort data... it's really concentrated. This AI-assisted research, it's- it is heavily skewed toward highly complex, enterprise-level purchases. If you're selling a fifty-dollar-a-month SaaS tool, people still just click around and buy it. But if it's a six-figure database migration? That's where buyers are dumping fifty-page security PDFs into Claude to find the gaps.
Daniel North
Huh. Okay, so it's- it's selective. It's- it's happening where the cognitive load for the human is just too high to do manually.
Elena Park
Right. Exactly. It's a filter for complexity.
Daniel North
Okay, so... let's think about how to solve for that. If I'm- if I'm trying to make my firm's expertise... "machine-readable," which is a weird phrase to even say... how do we actually execute that?
Elena Park
Well, for starters, think about format. AI models love clean text, and they love transcripts. So, if we publish a podcast, we- we absolutely have to publish the full, raw text transcript. If we write a case study, we can't just have a graphic that says "Sales went up!" We need to write, "Our client experienced a thirty-four percent increase in quarter-over-quarter conversion rates," in plain, crawlable HTML.
Daniel North
Right. You're giving the machine the exact tokens it needs to cite you. It's like... "thought leadership" now has to be legible to the bot before it can ever be persuasive to the human.
Elena Park
Legible to the bot. I- I like that. It's a totally different way of thinking about content creation.
Daniel North
It really is. Well, um, that's a pretty heavy shift for marketing teams to digest. Let's- let's leave it there for today. Good chatting, Elena.
Elena Park
Yeah, good talk, Daniel. See ya.